Evidence map›Paper›PMID 41872788›Full record

ArticleBMC public health2026

The impact of digital infrastructure construction on the depressive symptoms among middle-aged and older adults: evidence from China.

Chao Zhou, Yixiao Liang, Qiya Yang, Lei Zhou, Shenwei Wan

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chao ZhouResearch Center of the Economic and Social Development of Henan East Provincial Joint, Shangqiu Normal University, Shangqiu, China.
Yixiao LiangSchool of Economics and Management, Northeast Forestry University, Harbin, 150040, China. Nefuer-Liangyx@nefu.edu.cn.
Qiya YangThe Second Clinical Medical School of Guangdong Medical University, Dongguan, 523808, China.
Lei ZhouSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing, 100872, China. leizhou@ruc.edu.cn.
Shenwei WanSchool of Agricultural Economics and Rural Development, Renmin University of China, Beijing, 100872, China. wanshenwei@ruc.edu.cn.

Funding

Young Researcher Research Fund Project of the Future Humanity Joint Research Institute of Renmin University of China and Xihu University 2025RD0304
6 · The paper itself

Abstract

The “Broadband China” strategy has enhanced digital infrastructure through urban fiber upgrades, rural broadband expansion, and improved network performance. This research employs the multi-period difference-in-differences (DID) model using 2011–2020 CHARLS data to explore underlying mechanisms. Findings indicate digital infrastructure reduces depression, mediated primarily by strengthened old-age services and social well-being. Heterogeneity analysis reveals stronger effects among urban residents, individuals aged 45–60, and those with higher cognitive abilities. By demonstrating the mental health benefits of digital infrastructure through the “Broadband China” case, this study provides empirical evidence for developing nations to leverage technological investments for public health objectives, particularly in aging populations. The results underscore the importance of integrating digital development with social support systems to maximize health outcomes.

Indexed as

DepressionDigital TechnologyAgedChinaDigital HealthDigital MediaFemaleHumansMaleMiddle AgedSocial SupportCHARLSdepressive symptomsdigital infrastructure constructioneffectiveness evaluationmiddle-aged and older adults

Identifiers

PMID41872788
PMCPMC13130415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.